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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 7-RES-JB
    11. 23801
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    INDEX
    Explanations

    phrases related to conflicts or debates

    oai_token-act-pair · gpt-3.5-turbo

    significant themes of struggle and achievement in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eston
    -0.73
    eka
    -0.70
     Higher
    -0.67
    ridor
    -0.67
    iframe
    -0.66
    hua
    -0.64
    resh
    -0.64
    EStream
    -0.64
    odcast
    -0.63
     Howell
    -0.63
    POSITIVE LOGITS
     imaginable
    1.13
     except
    1.04
     hoop
    0.83
     crap
    0.80
     fuss
    0.74
     nodd
    0.73
     facets
    0.72
     attendant
    0.72
     stuff
    0.72
    except
    0.70
    Activations Density 0.230%

    No Known Activations